惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Security Archives - TechRepublic
Security Archives - TechRepublic
罗磊的独立博客
T
The Blog of Author Tim Ferriss
The GitHub Blog
The GitHub Blog
Apple Machine Learning Research
Apple Machine Learning Research
The Register - Security
The Register - Security
J
Java Code Geeks
V2EX - 技术
V2EX - 技术
Vercel News
Vercel News
N
News and Events Feed by Topic
腾讯CDC
P
Proofpoint News Feed
N
News | PayPal Newsroom
www.infosecurity-magazine.com
www.infosecurity-magazine.com
爱范儿
爱范儿
O
OpenAI News
酷 壳 – CoolShell
酷 壳 – CoolShell
月光博客
月光博客
Martin Fowler
Martin Fowler
Engineering at Meta
Engineering at Meta
D
Docker
Y
Y Combinator Blog
博客园 - 聂微东
G
Google Developers Blog
S
Security @ Cisco Blogs
Simon Willison's Weblog
Simon Willison's Weblog
S
Schneier on Security
H
Hackread – Cybersecurity News, Data Breaches, AI and More
S
SegmentFault 最新的问题
云风的 BLOG
云风的 BLOG
阮一峰的网络日志
阮一峰的网络日志
C
CXSECURITY Database RSS Feed - CXSecurity.com
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
C
CERT Recently Published Vulnerability Notes
I
Intezer
G
GRAHAM CLULEY
有赞技术团队
有赞技术团队
Attack and Defense Labs
Attack and Defense Labs
V
Visual Studio Blog
博客园 - Franky
博客园 - 三生石上(FineUI控件)
W
WeLiveSecurity
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
Hugging Face - Blog
Hugging Face - Blog
Scott Helme
Scott Helme
T
Troy Hunt's Blog
Hacker News - Newest:
Hacker News - Newest: "LLM"
L
LINUX DO - 最新话题
C
Cybersecurity and Infrastructure Security Agency CISA

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python) The Hidden Cost of AI Systems Nobody Talks About. undefined vs undeclared, and how typeof behaves Switching from file-based jobs to NATS/Kafka in Rust without changing code io_uring Adventures: Rust Servers That Love Syscalls Why Agentic AI is Killing the Traditional Database The POUR principles of web accessibility for developers and designers Quantum Neural Network 3D — A Deep Dive into Interactive WebGL Visualization How To Install Caveman In Codex On macOS And Windows Automation Pipeline Reliability: Why Your Workflow Breaks When Nobody Is Watching I Built an 'Open World' AI Coding Agent — It Works From ANY Folder From Freelancing to Product: A Tech Service Company's SaaS Transformation China's AI Giants: Adding Tencent Hunyuan & ByteDance Doubao to AI University (74 Providers) On the Vibe Coders and Their Lies clerk: Auto-Summarize Your Claude Code Sessions AI Weekly — 2026/04/10–04/17 | The Model Lockdown Is Here, but the Toolchain Is the Real Battleground AI 週報 — 2026/04/10–2026/04/17 模型封鎖潮來了,但工具鏈才是真戰場 Maybe this is how Open-Source apps are born... 🚀 Fine-Tune LLMs with LoRA and QLoRA: 2026 Guide tRPC v11 + Next.js App Router: End-to-End Type Safety Without the Boilerplate ShadCN UI in 2026: Why I Stopped Installing Component Libraries and Started Owning My Components SaaS Billing in React Server Components: Stripe + Supabase Without a Single `useEffect` Join our DEV Weekend Challenge — $1,000 in Prizes Across TEN winners! Submissions Due April 20 at 6:59 AM UTC. Implementing FSRS Spaced Repetition in Flutter + Supabase — Adding Memory Science to an AI Learning App "I Texted My Localhost From the Train — Claude Code Fixed the Bug Before I Got Home" I Built a Sales Prep AI and It Went Deeper Than Expected Design to Code #2: One JSON, Eleven Outputs Solving the 100M-Row Problem: A Summary Table Pattern for High-Volume Push Notification Logs Flutter Web With Wasm: What Actually Changes For Developers I Built 50 Royalty-Free Soundtracks for My Side Project in a Weekend Using AI Music Generation The Vibe Coding Security Checklist: 7 Things to Check Before You Ship Stop Letting Googlebot Guess Fix Your React App's SEO Right Desconstruindo o Streaming do LinkedIn: Como Criar um Engine de Extração de Vídeo de Alta Performance com HLS e FFmpeg (EDA Part-1) EDA (Exploratory Data Analysis) Explained With Real Life — Why Looking at Your Data Is the Most Important Step in Machine Learning Brand Relationship Management at Scale: Our 4-Touch Outreach System for 200+ Brands Why String.fromEnvironment() Might Return an Empty String in Dart JGuardrails 1.0.0 — Hardening Java LLM Apps Against Jailbreaks, Toxicity, and Prompt Injection Plan and Schedule a Full Week of Threads Content From One Claude Conversation Coding Cat Oran Ep3, Five Tables Changed Everything Updated: BFF Pattern I'm done watching freelancers get buried by 200 proposals. So I'm building the alternative. This is my first post BFS Algorithm in Java Step by Step Tutorial with Examples Tracking LLM Pricing Monthly: An Open Dataset for 22 AI Models How We Measure Content ROI on a Comparison Site: Revenue Attribution Without Perfect Data Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams I built a free desktop video downloader for Windows — Grabbit How Talkie OCR Helps Vision-Impaired & Dyslexic Users Read the World Around Them VRCFaceTracking安装和iPhone面捕配置教程,有bug Even CrowdStrike Can't See Your Agents The Automation Gold Rush: What n8n Workflows and Claude Are Opening Up for Developers Right Now
DGA 101: Using Dissolved Gas Analysis to Diagnose Solid Insulation Health
Mike L - Electrical Engineering BootCamp · 2026-06-15 · via DEV Community

For asset managers and equipment engineers, mastering Dissolved Gas Analysis (DGA) interpretation is essential, because gases like carbon monoxide and carbon dioxide are the first chemical signals that a transformer's solid cellulose insulation is overheating and degrading. Your transformer can talk, and if you know how to listen, you will hear it. Inside every oil‑filled power transformer, a silent story unfolds as the oil and paper insulation bear the brunt of electrical stress, thermal cycling, and aging. When problems begin, the transformer does not send an email or flash a warning light, but it does leave chemical clues dissolved into the insulating oil. Learning to read those clues through DGA separates guesswork from certainty and reactive maintenance from preventive action.

DGA is a non‑intrusive diagnostic technique that measures the types and concentrations of gases dissolved in transformer insulating oil. When electrical or thermal stress affects the insulation system, the oil and solid materials decompose, generating measurable concentrations of key gases. Different fault conditions produce different gas fingerprints, and by identifying which gases are present and in what quantities—and by tracking how those levels change over time—you can detect incipient faults while the risk of damage is still low. Modern DGA can be performed offline through periodic laboratory sampling, which typically measures a broader range of gases, or online using continuous on‑tank analyzers that provide real‑time multi‑gas monitoring. For critical assets such as generation step‑up transformers, transmission assets, and distribution transformers serving essential loads, online DGA delivers the greatest value by giving continuous visibility into developing issues.

Not all fault gases are created equal, and each key gas tells a different story about transformer health. Hydrogen is produced by low‑energy faults like partial discharge, indicating corona effects or developing insulation problems. Methane and ethane point to low‑temperature thermal faults from overheating components or connections. Ethylene signals high‑temperature thermal faults above 300 degrees Celsius, and the ratio of ethylene to ethane helps identify temperature ranges. Acetylene, one of the most critical indicators, comes from high‑energy arcing faults above 1000 degrees Celsius, and even small concentrations suggest severe electrical stress requiring immediate attention. Carbon monoxide is produced specifically by the decomposition of cellulose paper, indicating thermal stress on solid insulation materials. Carbon dioxide also comes from cellulose decomposition and normal aging, and when interpreted alongside carbon monoxide, it helps assess overall insulation aging. When the paper insulation overheats, even before catastrophic failure occurs, these carbon gases begin to form, making them your primary window into solid insulation health. Moisture accelerates the process, as high water content in the oil increases cellulose aging and raises CO and CO₂ production while also lowering dielectric strength, making partial discharge more likely.

Reading a DGA report requires more than glancing at parts‑per‑million numbers. Experienced professionals use structured interpretation methods recommended in industry standards such as IEEE C57.104 and IEC 60599. The key gas method identifies the primary gas and relates it to a specific fault type: hydrogen points to partial discharge, acetylene indicates arcing, ethylene signals high‑temperature thermal faults, and CO points to cellulose decomposition. The Duval Triangle method plots the relative percentages of methane, ethylene, and acetylene into a triangular diagram, and the region where the point falls categorizes the fault more precisely than any single gas can. Ratio methods such as Rogers ratios or IEC ratios analyze pairs of gas ratios to identify fault type and severity, helping distinguish low‑temperature thermal faults from high‑temperature ones and electrical discharge from thermal degradation. Most importantly, trend analysis is essential: never make a major decision based on a single sample. Gases with rising values are far more critical than high but stable levels, and long‑term DGA trend monitoring has been shown to successfully detect progressing faults, enabling timely preventive maintenance before failure occurs.

For equipment engineers responsible for specifying, procuring, or maintaining power transformers, there is a practical way to apply DGA insight. Start by establishing a baseline from factory tests and commissioning oil samples, because without a baseline you cannot identify meaningful change. Sample consistently so data remains comparable, and if possible use online DGA systems to capture fine‑grained patterns that periodic sampling might miss. Watch rates of change, not just absolute levels: a transformer with gases above the 90th percentile may operate safely for years, while another with lower concentrations could be developing a serious problem. Consider operational context, as load cycling, ambient temperature changes, and recent maintenance can all affect gas levels independent of fault conditions. And always confirm before acting: never make a major decision based on a single sample. Use confirmation sampling to validate findings before scheduling internal inspection or ordering repairs. A confident diagnosis typically requires combining DGA data with operational history, electrical tests, and physical inspections.

Dissolved Gas Analysis is the single most powerful diagnostic tool available for assessing transformer health while the unit remains in service. Understanding what each gas means—and especially recognizing that CO and CO₂ are your primary indicators of solid insulation condition—directly impacts how you specify, procure, and maintain your transformer fleet. This is the kind of practical, industry‑ready knowledge that separates theory from application.

Mike has worked for many years in the power utility industry, holding various engineering roles and teaching engineering concepts to the public, to fellow engineers, and to power line professionals. He knows firsthand that much of what you truly need to succeed in this industry is not taught in universities, and that even within utility companies, knowledge often remains siloed within individual teams. The Electrical Transformers Fundamentals video course is Mike's answer to that gap. It takes you from core fundamentals all the way to practical procurement and installation knowledge that would otherwise take years to acquire on the job. If you are an equipment engineer, a utility professional, or someone on the vendor side who needs to communicate transformer specifications and conditions clearly, this course gives you tools that work in the real world. Start your journey today by visiting Mike's list of courses.